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BC youtube-summarizer-bot

A Python bot that monitors YouTube channels via RSS, summarizes new videos using Google Gemini AI (with audio fallback for videos without subtitles), and sends bilingual (Chinese + English) summaries to a Telegram chat daily.

ClawHub Agent Skills author: Inkiy v1.0.0 MIT-0 9 files body ≈ 572 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

ReferenceTelegramYouTubeMedia and videotype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
98
Quality 40%
72
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 2

✓ No critical or high findings

Medium and low: 2
  • low Dangerous commands cmd-background-process SKILL.md:57
    Starts a background / autostarted process
    nohup python main.py > bot.log 2>&1 &
  • low Exfiltration exfil-webhook-url tg_notifier.py:17
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    url = f"https://api.telegram.org/bot{TG_BOT_TOKEN}/sendMessage"
    placeholder

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (youtube-summarizer-bot) differs from the folder (youtube-daily-digest-bot)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 15 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 572 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 225: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This is a straightforward YouTube-to-Gemini-to-Telegram summarizer bot, with expected external service use and manageable setup risks.
LLM: benign (high) · VirusTotal: · 29 May 2026